About the talk
In this talk, we’ll look at how we can use Kafka Streams to solve a variety of event stream processing problems. The examples are based on real-world usage from our stream processing platform in Schibsted, used to process over 800 million incoming events daily from users across the globe. We will cover topics ranging from the basics like filtering and transforming events, to how you can use Kafka Streams for data routing, aggregating events, and enriching and joining event streams.
Event stream processing using Kafka Streams
Wed, Oct 25, 2017 | 6-8 PM
Schibsted HQ, Armii Krajowej 28
Agenda
6:00-6:30 pm Event stream processing using Kafka Streams (part I)
6:30-6:45 pm Pizza time
6:45-7:15 pm Event stream processing using Kafka Streams (part II)
7:15-8:00 pm Networking & drinks
About the speaker
Fredrik Vraalsen works as a software engineer in the Data Platform team of Schibsted Products & Technology. He writes Scala for a living, trying to wrangle the 800 million daily events from Schibsted users around the world. The last couple of months his focus has been on event stream processing, utilizing Kafka and Kafka Streams to route, filter, transform and enrich incoming events in order to help Schibsted build and improve their real-time data-driven products. Fredrik has held training courses in Scala, Java 8 and functional programming, and likes to speak at conferences.
Have a drink and meet like-minded people
Meetups are also a great chance to meet like-minded people so why not to take this opportunity, have a beer and talk a little? Bring your friends, or come and make some new!
Still not convinced? Check out the photos from last Tech Talk meetup here and wait no more cause places are limited!
Event stream processing using Kafka Streams
Wed, Oct 25, 2017 | 6-8 PM
Schibsted HQ, Armii Krajowej 28
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